Diagnostic accuracy of smart gadgets/wearable devices in detecting atrial fibrillation in primary prevention: a meta-analysis

Abstract Funding Acknowledgements Type of funding sources: None. Introduction Atrial fibrillation (AF) is the most common sustained arrhythmia and an important risk factor for stroke heart. Recent technology advances have allowed heart rhythm monitoring using smart gadgets/wearable devices which can be used early AF diagnosis. Purpose We performed a systemic review meta-analysis to assess accuracy diagnosis by in primary prevention. Methods systematically searched Medline, Embase Cochrane electronic databases up September 22th, 2022 observational studies diagnostic smartphone application, wrist-worn wearables external detecting Studies with 12-lead ECG or single-lead interpreted cardiologist as gold standard were included. calculated area under curve (AUC) summary receiver operating characteristic curves (SROC) pooled sensitivities specificities. Results A total 28 included enrolling 13463 patients, 57%(95% CI: 55-59%) male average age 65.3years (95% 60.1 – 70.4). The prevalence was found 13% CI 10 15%). In overall analysis all devices, AUC 0.99 0.97-0.99)(Figure 1), sensitivity 93%(95% 89 95%) specificity 97%(95% 95 98%) (Figure 2). Wrist-worn had 0.97 0.94-0.99), 83%(95% 52 96%) 98%(95% 87 100%). Smartphone applications 0.96-0.98), 92%(95% 77 95%(95% 91 97%). External 0.97-0.99), 94%(95% 98%). Single-lead 0.97- 0.99), 88 91%(95% 78 photoplethysmography pulse waveform (PPG) 97%) Pulse beat interval 0.98-0.99), 90 96%(95% 93 Conclusions excellent atrial